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The Painting Fool<\/em> is a computer program and artwork developed originally in 2001 by Simon Colton and researchers at the Computational Creativity Research Group at Imperial College<\/a>, London. Colton\u2019s ultimate goal for The Painting Fool<\/em> was to create a piece that is seen as purely creative, what he refers to as \u201cComputational Creativity\u201d; he believed that to achieve this The Painting Fool<\/em> was required to have behaviors that are skillful, appreciative, and imaginative.<\/p>\n
<\/p>\n Skillful behaviors deal with the mechanical physical process of painting. The Painting Fool<\/em> is able to take a scan of a photograph and determine the individual colors used within the composition, grouping them together in similar palettes. In addition The Painting Fool<\/em> records the different pastel, pencil, and brush strokes as well as an analysis of the animation of strokes. The Painting Fool<\/em> is able to utilize this data to make full replications of paintings but also takes what it\u2019s learned about the way brushstrokes rotate and blend on a page and implements its new knowledge when making new creative pieces. [1]<\/p>\n
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<\/p>\n The Painting Fool<\/em>\u2019s appreciative aspect encompasses reading human emotion and finding a way to translate that on to a canvas. Utilizing facial recognition software from the Department of Computing at Imperial College, The Painting Fool<\/em> is able to detect facial features that correspond with certain human emotions. Using this data, The Painting Fool<\/em> then picks materials such as medium, colors, intensity that most clearly objectify the human emotion. For example when a user exposed feelings of disgust to the camera, the program would use bleak gray colors and techniques that distorted and elongated skulls and other facial features. See above. [2]<\/p>\n
<\/p>\n Imaginative behavior was the third element that Colton saw as key to making The Painting Fool<\/em> a computationally creative artist. Colton\u2019s third stage is always evolving and encompasses techniques of Artificial Intelligence from multiple sources and engineers. Utilizing generative techniques such as an evolutionary process of recognizing repeated elements, The Painting Fool <\/em>is able to create unique objects that don\u2019t exist in reality. For example when creating landscape scenes The Painting Fool <\/em>uses an addition of contextfree <\/a>software, a program that autonomously draws unique shapes (such as trees) in proportion to how they relate to other objects. [3]\u00a0<\/p>\n
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<\/p>\n Colton\u2019s ultimate goal for The Painting Fool<\/em> is that he is able to capture the essence of human creativity in a program that individually creates unique pieces of apparently human art. In their 1997 article on Robotic Art Kac and Antunez Roca\u00a0 state \u201cRobots\u2026 are themselves capable of perceiving the public, responding accordingly to the possibilities of their sensors\u2026 Robots are capable of inventing new behaviors\u201d. [4]\u00a0The Painting Fool<\/em> is just a series of computer code, but is also a Robotic Artist according to Kac and Roca because of its ability to not only perceiving the public, but its ability to use that data in order to create new behaviors, in the form of painting, that models that data. They go on to further comment on the human factor: \u201cThe interplay that occurs between all involved in a given piece (robots, humans, etc.)\u00a0 defines the specific qualities of that piece.\u201d In 1997 Kac and Roca claimed that the human-robotic interaction is key to developing specific aesthetic qualities of an artwork, an aspect which is essential to The Painting Fool<\/em> when determining how to represent emotion through painting.<\/p>\n
<\/p>\n Another artist that is working at the boundaries of robotic art is Harold Cohen, with over 40 years of work on his autonomous drawing machine AARON<\/em><\/a>. AARON<\/em>, like The Painting Fool<\/em> follows a set of very simple rules to begin a drawing, and then from experience decides the next best step to making a unique composition. AARON<\/em>\u2019s system of self-organization is akin to The Painting Fool<\/em>\u2019s three key behaviors in the sense that they both learn to adapt from past decisions and observations to make a piece even more unique. Cohen and Colton both have the same goal of idealizing human creativity in their autonomous artists; their hope is that by giving the program choices of what to do, but not clarifying what the decision should be that the robot itself is able to capture the creativity of human aesthetics.<\/p>\n
<\/p>\n References:<\/p>\n
<\/p>\n [1]:\u00a0http:\/\/www.thepaintingfool.com\/index.html<\/p>\n
<\/p>\n [2]:\u00a0http:\/\/www.thepaintingfool.com\/papers\/colton_dimea08.pdf<\/p>\n
<\/p>\n [3]:\u00a0http:\/\/www.thepaintingfool.com\/about\/index.html<\/p>\n
<\/p>\n [4]:\u00a0Edward A. Shanken, Art and Electronic Media,p.246<\/p>\n
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